{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["attacker", "attack pattern", "victim", "damage amount", "place", "tool", "purpose", "trusted entity", "time"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerable system", "discoverer", "capabilities", "vulnerability", "vulnerable system owner", "supported platform", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["time", "attacker", "place", "attack pattern", "compromised data", "number of victim", "number of data", "purpose", "tool"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "patch", "patch number", "vulnerable system", "issues addressed", "vulnerable system version", "supported platform", "time", "releaser", "vulnerability"]}, {"event_type": "ransom", "trigger": true, "arguments": ["tool", "damage amount", "attack pattern", "place", "payment method", "victim", "price", "time"]}], "input": "“ They track current trends and events to make their attacks more effective , and tax season offers a rich opportunity for attackers to disguise themselves as well - known brands and even government agencies in an effort to exploit users . ”"}
{"phishing": [{"trigger": "disguise themselves as", "arguments": {"attacker": "attackers", "attack pattern": "NAN", "victim": "NAN", "damage amount": "NAN", "place": "NAN", "tool": "NAN", "purpose": "NAN", "trusted entity": ["well - known brands", "government agencies"], "time": "NAN"}}], "discover vulnerability": [], "data breach": [], "patch vulnerability": [], "ransom": []}